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The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics
Opioid receptors that belong to class A G protein-coupled receptors (GPCRs) are vital in pain control. In the past few years, published high-resolution crystal structures of opioid receptor laid a solid basis for both experimental and computational studies. Computer-aided drug design (CADD) has been...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242749/ https://www.ncbi.nlm.nih.gov/pubmed/32500054 http://dx.doi.org/10.3389/fchem.2020.00335 |
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author | Zhao, Bangyi Li, Wei Sun, Lijie Fu, Wei |
author_facet | Zhao, Bangyi Li, Wei Sun, Lijie Fu, Wei |
author_sort | Zhao, Bangyi |
collection | PubMed |
description | Opioid receptors that belong to class A G protein-coupled receptors (GPCRs) are vital in pain control. In the past few years, published high-resolution crystal structures of opioid receptor laid a solid basis for both experimental and computational studies. Computer-aided drug design (CADD) has been established as a powerful tool for discovering novel lead compounds and for understanding activation mechanism of target receptors. Herein, we reviewed the computational-guided studies on opioid receptors for the discovery of new analgesics, the structural basis of receptor subtype selectivity, agonist interaction mechanism, and biased signaling mechanism. |
format | Online Article Text |
id | pubmed-7242749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72427492020-06-03 The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics Zhao, Bangyi Li, Wei Sun, Lijie Fu, Wei Front Chem Chemistry Opioid receptors that belong to class A G protein-coupled receptors (GPCRs) are vital in pain control. In the past few years, published high-resolution crystal structures of opioid receptor laid a solid basis for both experimental and computational studies. Computer-aided drug design (CADD) has been established as a powerful tool for discovering novel lead compounds and for understanding activation mechanism of target receptors. Herein, we reviewed the computational-guided studies on opioid receptors for the discovery of new analgesics, the structural basis of receptor subtype selectivity, agonist interaction mechanism, and biased signaling mechanism. Frontiers Media S.A. 2020-05-15 /pmc/articles/PMC7242749/ /pubmed/32500054 http://dx.doi.org/10.3389/fchem.2020.00335 Text en Copyright © 2020 Zhao, Li, Sun and Fu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Zhao, Bangyi Li, Wei Sun, Lijie Fu, Wei The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics |
title | The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics |
title_full | The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics |
title_fullStr | The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics |
title_full_unstemmed | The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics |
title_short | The Use of Computational Approaches in the Discovery and Mechanism Study of Opioid Analgesics |
title_sort | use of computational approaches in the discovery and mechanism study of opioid analgesics |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242749/ https://www.ncbi.nlm.nih.gov/pubmed/32500054 http://dx.doi.org/10.3389/fchem.2020.00335 |
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